julia> gaussian((10,1), sigma=1)
10×1 IndexFunArray{Float64, 2, IndexFunArrays.var"#g#290"{Float64, Tuple{Int64, Int64}, Tuple{Float64, Float64}, Int64}}:
3.726653172078671e-6
0.00033546262790251185
0.011108996538242306
0.1353352832366127
0.6065306597126334
1.0
0.6065306597126334
0.1353352832366127
0.011108996538242306
0.00033546262790251185
julia> gaussian((10,1), sigma=0.1, scale=0.1)
10×1 IndexFunArray{Float64, 2, IndexFunArrays.var"#g#290"{Float64, Tuple{Int64, Int64}, Tuple{Float64, Float64}, Int64}}:
5.166420632838008e-55
1.8048513878454407e-35
2.862518580549414e-20
2.0611536224385653e-9
0.006737946999085473
1.0
0.006737946999085473
2.0611536224385653e-9
2.862518580549414e-20
1.8048513878454407e-35
julia> gaussian((10,1), sigma=sqrt(0.1), scale=0.1)
10×1 IndexFunArray{Float64, 2, IndexFunArrays.var"#g#290"{Float64, Tuple{Int64, Int64}, Tuple{Float64, Float64}, Int64}}:
3.726653172078671e-6
0.00033546262790251185
0.011108996538242306
0.1353352832366127
0.6065306597126334
1.0
0.6065306597126334
0.1353352832366127
0.011108996538242306
0.00033546262790251185